Four-dimensional computational ultrasound imaging of brain hemodynamics
Michael Brown (University College London, Erasmus MC)
Bastian S. Generowicz (Erasmus MC)
Stephanie Dijkhuizen (Erasmus MC)
Sebastiaan K.E. Koekkoek (Erasmus MC)
C. Strydis (TU Delft - Computer Engineering, Erasmus MC)
J. G. Bosch (Erasmus MC)
Petros Arvanitis (Erasmus MC)
G Springeling (Erasmus MC)
G.J.T. Leus (TU Delft - Signal Processing Systems)
Chris I. De Zeeuw (Royal Dutch Academy for Arts and Sciences, Amsterdam, Erasmus MC)
P. Kruizinga (TU Delft - Signal Processing Systems, Erasmus MC)
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Abstract
Four-dimensional ultrasound imaging of complex biological systems such as the brain is technically challenging because of the spatiotemporal sampling requirements. We present computational ultrasound imaging (cUSi), an imaging method that uses complex ultrasound fields that can be generated with simple hardware and a physical wave prediction model to alleviate the sampling constraints. cUSi allows for high-resolution four-dimensional imaging of brain hemodynamics in awake and anesthetized mice.
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